Python for Data Science
Completed by Evans Tatenda Ruzane
October 19, 2025
39 hours (approximately)
Evans Tatenda Ruzane's account is verified. Coursera certifies their successful completion of Python for Data Science
What you will learn
Build pandas pipelines to clean, transform, and aggregate real‑world datasets.
Perform EDA and compute descriptive statistics to summarize data quality and behavior.
Apply hypothesis tests (t‑test/chi‑square) and interpret results for business decisions.
Create publication‑quality charts (bar/line/box/heatmaps) with matplotlib & seaborn.
Skills you will gain
- Category: Probability & Statistics
- Category: Feature Engineering
- Category: Exploratory Data Analysis
- Category: Seaborn
- Category: Data Preprocessing
- Category: Descriptive Statistics
- Category: Data Visualization Software
- Category: Statistical Methods
- Category: Data Analysis
- Category: Data Transformation
- Category: Data Processing
- Category: Statistical Analysis
